A 43-year-old Tibetan female was brought to the department of general surgery with abdominal discomfort.Computed tomography(CT)scan revealed cystic hepatic echinococcosis in the right liver(Figure 1A).Further magnetic...A 43-year-old Tibetan female was brought to the department of general surgery with abdominal discomfort.Computed tomography(CT)scan revealed cystic hepatic echinococcosis in the right liver(Figure 1A).Further magnetic resonance cholangiopancreatography showed that there were cyst-biliary communications at right posterior bile duct,and several hydatid cysts inside common bile duct(Figure 1B,yellow arrow head showed rupture,white arrow heads showed bile duct hydatid cysts).Low confluence of right posterior bile duct to the common hepatic duct suggests biliary variation.Although serum total bilirubin was normal,serum alkaline phosphatase and gamma-glutamyl transpeptidase were elevated mildly with the value of 278 and 107 U/L respectively.She underwent right hemihepatectomy plus choledochoscopic hydatid cysts extraction through right posterior hepatic duct stump(Figure 1C,yellow arrow head showed right posterior bile duct stump,white arrow heads showed bile duct hydatid cysts).To prevent the spread of echinococcosis,we covered the surgical area with hypertonic saline gauze.A large number of hydatid cysts presented inside hepatectomy specimen that mixed with a lot of bile(Figure 1D).Hydatid cyst inside bile duct was removed completely,and postoperative recovery was smooth.We removed all the liver cysts,and no signs of any lesion residue in post-operative image.展开更多
With the advancement of new infrastructures,the digitalization of the substation communication network has rapidly increased,and its information security risks have become increasingly prominent.Accurate and reliable ...With the advancement of new infrastructures,the digitalization of the substation communication network has rapidly increased,and its information security risks have become increasingly prominent.Accurate and reliable substation communication network flow models and flow anomaly detection methods have become an important means to prevent network security problems and identify network anomalies.The existing substation network analyzers and flow anomaly detection algorithms are usually based on threshold determination,which cannot reflect the inherent characteristics of substation automation flow based on IEC 61850 and have low detection accuracy.To effectively detect abnormal traffic,this paper fully explores the substation network traffic rules,extracts the frequency domain features of the station level network,and designs an abnormal traffic identification model based on the ResNeSt convolutional neural network.Transfer learning is used to solve the problem of insufficient abnormal traffic labeled samples in the substation.Finally,a new method of abnormal traffic detection in smart substation station level communication networks based on deep transfer learning is proposed.The T1-1 substation communication network is constructed on OPNET for abnormal simulations,and the actual network traffic in a 110kV substation is fused with CIC DDoS2019 and KDD99 data sets for the algorithm performance test,respectively.The accuracy reached is 98.73%and 98.95%,indicating that the detection model proposed in this paper has higher detection accuracy than existing algorithms.展开更多
To the Editor:Venous thromboembolism(VTE)is a common complication following orthotopic liver transplantation(OLT),with an incidence of 2.8-8.6%,[1-3]which affects the quality of life of post-transplant patients.Curren...To the Editor:Venous thromboembolism(VTE)is a common complication following orthotopic liver transplantation(OLT),with an incidence of 2.8-8.6%,[1-3]which affects the quality of life of post-transplant patients.Current VTE risk assessment tools,such as the Caprini score,have limitations when applied to this population,underscoring the necessity of developing an early VTE risk assessment model tailored for OLT recipients.展开更多
Up to know,product information for COVID-19 mRNA vaccines do not include their use in patients receiving immunosuppressive medication,since they were not included in trials(1).For the BNT162b2 mRNA vaccine,one case of...Up to know,product information for COVID-19 mRNA vaccines do not include their use in patients receiving immunosuppressive medication,since they were not included in trials(1).For the BNT162b2 mRNA vaccine,one case of otherwise totally asymptomatic elevations of alanine aminotransferase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP)andγ-glutamyl transpeptidase(GGT)serum concentrations in a liver transplant recipient has been reported after the first injection(2).In the present retrospective study,we present safety outcomes of COVID-19 vaccinations in 56 liver transplant patients from two Chinese centers vaccinated with the domestic PiCoVacc,BBIBP-CorV and ZF2001 vaccines.Thirty vaccinated physicians from the Hepatopancreatobiliary Center of Beijing Tsinghua Changgung Hospital served as control,from which 1 participant received an Ad5-nCoV vaccine.The study deadline was 2021-10-31.The observation period for adverse reactions,such as muscle pain and fatigue was 1 week,while for laboratory examinations such as liver function the follow-up period was 1 month.展开更多
文摘A 43-year-old Tibetan female was brought to the department of general surgery with abdominal discomfort.Computed tomography(CT)scan revealed cystic hepatic echinococcosis in the right liver(Figure 1A).Further magnetic resonance cholangiopancreatography showed that there were cyst-biliary communications at right posterior bile duct,and several hydatid cysts inside common bile duct(Figure 1B,yellow arrow head showed rupture,white arrow heads showed bile duct hydatid cysts).Low confluence of right posterior bile duct to the common hepatic duct suggests biliary variation.Although serum total bilirubin was normal,serum alkaline phosphatase and gamma-glutamyl transpeptidase were elevated mildly with the value of 278 and 107 U/L respectively.She underwent right hemihepatectomy plus choledochoscopic hydatid cysts extraction through right posterior hepatic duct stump(Figure 1C,yellow arrow head showed right posterior bile duct stump,white arrow heads showed bile duct hydatid cysts).To prevent the spread of echinococcosis,we covered the surgical area with hypertonic saline gauze.A large number of hydatid cysts presented inside hepatectomy specimen that mixed with a lot of bile(Figure 1D).Hydatid cyst inside bile duct was removed completely,and postoperative recovery was smooth.We removed all the liver cysts,and no signs of any lesion residue in post-operative image.
基金supported in part by the Science and Technology Project of State Grid Corporation of China(SGHADK00PJJS2000026).
文摘With the advancement of new infrastructures,the digitalization of the substation communication network has rapidly increased,and its information security risks have become increasingly prominent.Accurate and reliable substation communication network flow models and flow anomaly detection methods have become an important means to prevent network security problems and identify network anomalies.The existing substation network analyzers and flow anomaly detection algorithms are usually based on threshold determination,which cannot reflect the inherent characteristics of substation automation flow based on IEC 61850 and have low detection accuracy.To effectively detect abnormal traffic,this paper fully explores the substation network traffic rules,extracts the frequency domain features of the station level network,and designs an abnormal traffic identification model based on the ResNeSt convolutional neural network.Transfer learning is used to solve the problem of insufficient abnormal traffic labeled samples in the substation.Finally,a new method of abnormal traffic detection in smart substation station level communication networks based on deep transfer learning is proposed.The T1-1 substation communication network is constructed on OPNET for abnormal simulations,and the actual network traffic in a 110kV substation is fused with CIC DDoS2019 and KDD99 data sets for the algorithm performance test,respectively.The accuracy reached is 98.73%and 98.95%,indicating that the detection model proposed in this paper has higher detection accuracy than existing algorithms.
文摘To the Editor:Venous thromboembolism(VTE)is a common complication following orthotopic liver transplantation(OLT),with an incidence of 2.8-8.6%,[1-3]which affects the quality of life of post-transplant patients.Current VTE risk assessment tools,such as the Caprini score,have limitations when applied to this population,underscoring the necessity of developing an early VTE risk assessment model tailored for OLT recipients.
基金supported by the National Science&Technology Major Project[grant No.2017ZX100203205]National Natural Science Foundation of China[grant No.81930119]funders had no role in design of the study and collection,analysis,and interpretation of data and in writing the manuscript.
文摘Up to know,product information for COVID-19 mRNA vaccines do not include their use in patients receiving immunosuppressive medication,since they were not included in trials(1).For the BNT162b2 mRNA vaccine,one case of otherwise totally asymptomatic elevations of alanine aminotransferase(ALT),aspartate aminotransferase(AST),alkaline phosphatase(ALP)andγ-glutamyl transpeptidase(GGT)serum concentrations in a liver transplant recipient has been reported after the first injection(2).In the present retrospective study,we present safety outcomes of COVID-19 vaccinations in 56 liver transplant patients from two Chinese centers vaccinated with the domestic PiCoVacc,BBIBP-CorV and ZF2001 vaccines.Thirty vaccinated physicians from the Hepatopancreatobiliary Center of Beijing Tsinghua Changgung Hospital served as control,from which 1 participant received an Ad5-nCoV vaccine.The study deadline was 2021-10-31.The observation period for adverse reactions,such as muscle pain and fatigue was 1 week,while for laboratory examinations such as liver function the follow-up period was 1 month.
